Factual package intelligence from PyPI

dreamml 3.6.3 package intelligence

Framework for creating, running and validation of ML models on tabular data

pip install dreamml

Current version
3.6.3
Python requirement
>=3.8
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
63.8 MiB
Release history
4 releases with files
Median release cadence
3 days

dreamml dependencies

PyPI declares 67 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0
  2. numpy <2.0,>=1.24.0
  3. numba >=0.58.1
  4. pandas <1.5,>=1.4.3
  5. matplotlib >=3.3.4
  6. pip >=22.1
  7. seaborn >=0.12.1
  8. scipy <1.13.0,>=1.6.3
  9. scikit-learn <1.2,>=1.0.2
  10. ipython >=8.12.0
  11. tqdm >=4.63.0
  12. pyspark <3.4,>=3.2.1
  13. catboost >=1.2.6
  14. lightautoml >=0.4.1
  15. lightgbm >=3.2.1
  16. bayesian-optimization ==1.2.0
  17. fairlearn ==0.6.2
  18. hyperopt ==0.2.7
  19. Jinja2 ==3.1.2
  20. joblib ==1.2.0
  21. openpyxl ==3.0.10
  22. optuna <4.1.0,>=4.0.0
  23. py4j ==0.10.9.5
  24. PyYAML ==6.0.0
  25. shap <0.45,>=0.42.1

The compact report shows 25 of 67 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dreamml publishes 1 wheel and 1 source archive for version 3.6.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.